A semiparametric model for wearable sensor-based physical activity monitoring data with informative device wear.

ABSTRACT: Wearable sensors provide an exceptional opportunity in collecting real-time behavioral data in free living conditions. However, wearable sensor data from observational studies often suffer from information bias, since participants' willingness to wear the monitoring devices may be associated with the underlying behavior of interest. The aim of this study was to introduce a semiparametric statistical approach for modeling wearable sensor-based physical activity monitoring data with informative device wear. Our simulation study indicated that estimates from the generalized estimating equations showed ignorable bias when device wear patterns were independent of the participants physical activity process, but incrementally more biased when the patterns of device non-wear times were increasingl

SUBMITTER: Song J 

PROVIDER: S-EPMC6409419 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature